Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Showing 9052-9072 of 11,273 articles
A critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation.

A number of machine learning (ML)-based algorithms have been proposed for predicting mutation-induce...

Jul 2020 31273374
A novel rat robot controlled by electrical stimulation of the nigrostriatal pathway.

OBJECTIVE: Artificial manipulation of animal movement could offer interesting advantages and potenti...

Jul 2020 32610286
Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning-based neural network.

BACKGROUND: Gene expression plays a key intermediate role in linking molecular features at the DNA l...

Jul 2020 32649756
Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions.

MOTIVATION: RNA-protein interactions are key effectors of post-transcriptional regulation. Significa...

Jul 2020 32657407
[Study on precise mechanism of Chinese patent medicine from perspective of activating data].

Traditional Chinese medicine(TCM) syndrome differentiation and treatment has a characteristic and ad...

Jul 2020 32726047
Artificial Neural Network enabling Clinically Meaningful Biological Image Data Generation.

Biological experiments for developing efficient cancer therapeutics require significant resources of...

Jul 2020 33018491
Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset.

In this paper, we introduce a new dataset for cancer research containing somatic mutation states of ...

Jul 2020 33019182
Predicting the pathogenicity of protein coding mutations using Natural Language Processing.

DNA-Sequencing of tumor cells has revealed thousands of genetic mutations. However, cancer is caused...

Jul 2020 33019302
Antidepressant pathways of the Chinese herb through genetic ontology analysis.

Active compounds and corresponding targets of the traditional Chinese herb, were obtained from syst...

Jun 2020 32706203
[Identification of nucleosome positioning using support vector machine method based on comprehensive DNA sequence feature].

In this article, based on z-curve theory and position weight matrix (PWM), a model for nucleosome se...

Jun 2020 32597092
Prediction of condition-specific regulatory genes using machine learning.

Recent advances in genomic technologies have generated data on large-scale protein-DNA interactions ...

Jun 2020 32329779
Uncovering the key dimensions of high-throughput biomolecular data using deep learning.

Recent advances in high-throughput single-cell RNA-seq have enabled us to measure thousands of gene ...

Jun 2020 32232416
Predicting the Landscape of Recombination Using Deep Learning.

Accurately inferring the genome-wide landscape of recombination rates in natural populations is a ce...

Jun 2020 32077950
DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species.

MOTIVATION: DNA N4-methylcytosine (4mC) is a crucial epigenetic modification. However, the knowledge...

Jun 2020 32108866
eBreCaP: extreme learning-based model for breast cancer survival prediction.

Breast cancer is the second leading cause of death in the world. Breast cancer research is focused t...

Jun 2020 32406380
Genome-wide prediction for complex traits under the presence of dominance effects in simulated populations using GBLUP and machine learning methods.

The aim of this study was to compare the predictive performance of the Genomic Best Linear Unbiased ...

Jun 2020 32474602
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data.

With the explosive growth of biological sequences generated in the post-genomic era, one of the most...

May 2020 31067315
Machine learning predicts new anti-CRISPR proteins.

The increasing use of CRISPR-Cas9 in medicine, agriculture, and synthetic biology has accelerated th...

May 2020 32286628
Mantis-ml: Disease-Agnostic Gene Prioritization from High-Throughput Genomic Screens by Stochastic Semi-supervised Learning.

Access to large-scale genomics datasets has increased the utility of hypothesis-free genome-wide ana...

May 2020 32386536
DEEPrior: a deep learning tool for the prioritization of gene fusions.

SUMMARY: In the last decade, increasing attention has been paid to the study of gene fusions. Howeve...

May 2020 32016382
PlasGUN: gene prediction in plasmid metagenomic short reads using deep learning.

SUMMARY: We present the first tool of gene prediction, PlasGUN, for plasmid metagenomic short-read d...

May 2020 32091572
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